Plasma Treatment for Mould Inactivation on Building Materials: Surface Coverage Evaluation with Automated Image Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00379605" target="_blank" >RIV/68407700:21110/24:00379605 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.11159/icceia24.142" target="_blank" >http://dx.doi.org/10.11159/icceia24.142</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11159/icceia24.142" target="_blank" >10.11159/icceia24.142</a>

Result language

angličtina

Original language name

Plasma Treatment for Mould Inactivation on Building Materials: Surface Coverage Evaluation with Automated Image Analysis

Original language description

Moulds are common microorganisms capable of rapid proliferation under favourable conditions. Building materials that are moist or damaged by water are particularly prone to mould colonization, which can have adverse effects on both occupants and buildings. Key factors influencing mould growth include relative humidity, temperature, nutrients, type of mould species, and microstructure of the material. Recent studies have shown that low-temperature atmospheric pressure plasma can effectively inactivate a broad spectrum of microorganisms by generating reactive species that are lethal to cells [1, 2]. In this research, specimens of autoclaved building materials (e.g., plasterboard, fibreboard) were placed on agar plates and artificially inoculated with Aspergillus brasiliensis spores. All samples were conditioned at a constant temperature and relative humidity. During various phases of mould growth, they were exposed to plasma generated by diffuse coplanar surface barrier discharge in ambient air [3]. Photographs taken daily during the incubation period were analyzed using image analysis, providing swift and nondestructive assessment. ImageJ is a widely used software due to its interactive workflow and high extensibility via plugins. However, it faces challenges regarding FAIR (Findability, Accessibility, Interoperability, Reusability) principles and batch processing. Analyzing hundreds or thousands of digital images is time-consuming and error-prone. In our case, for surface coverage evaluation, we utilized the open-source software JIPipe, which incorporates visual programming into the ImageJ ecosystem.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

<a href="/en/project/GA22-06621S" target="_blank" >GA22-06621S: Inactivation of mould growth on surfaces of building materials using low temperature atmospheric plasma</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 10th World Congress on New Technologies (NEWTECH 2024)

ISBN

978-1-990800-45-0

ISSN

2369-8128

e-ISSN

2369-8128

Number of pages

2

Pages from-to

"142-1"-"142-2"

Publisher name

Avestia Publishing, International ASET Inc.

Place of publication

Ottawa

Event location

Barcelona

Event date

Aug 25, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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